alex-matton / causal-transformer-decoderLinks
☆72Updated 4 years ago
Alternatives and similar repositories for causal-transformer-decoder
Users that are interested in causal-transformer-decoder are comparing it to the libraries listed below
Sorting:
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆100Updated 2 years ago
- Implementation of Memformer, a Memory-augmented Transformer, in Pytorch☆117Updated 4 years ago
- Relative Positional Encoding for Transformers with Linear Complexity☆63Updated 3 years ago
- Sequence Modeling with Structured State Spaces☆64Updated 2 years ago
- Standalone Product Key Memory module in Pytorch - for augmenting Transformer models☆78Updated 10 months ago
- FairSeq repo with Apollo optimizer☆114Updated last year
- Code for "Finetuning Pretrained Transformers into Variational Autoencoders"☆39Updated 3 years ago
- Implementation of Mega, the Single-head Attention with Multi-headed EMA architecture that currently holds SOTA on Long Range Arena☆204Updated last year
- Implementation of a Transformer that Ponders, using the scheme from the PonderNet paper☆81Updated 3 years ago
- A variant of Transformer-XL where the memory is updated not with a queue, but with attention☆49Updated 4 years ago
- Official code repository of the paper Learning Associative Inference Using Fast Weight Memory by Schlag et al.☆28Updated 4 years ago
- Code for the paper PermuteFormer☆42Updated 3 years ago
- ☆163Updated 2 years ago
- Code for "Understanding and Improving Layer Normalization"☆46Updated 5 years ago
- Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)☆61Updated 3 years ago
- Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch☆119Updated 3 years ago
- Transformer-based Conditional Variational Autoencoder for Controllable Story Generation☆155Updated 2 years ago
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆124Updated last year
- [NeurIPS 2023 spotlight] Official implementation of HGRN in our NeurIPS 2023 paper - Hierarchically Gated Recurrent Neural Network for Se…☆64Updated last year
- Implementation of Imputer: Sequence Modelling via Imputation and Dynamic Programming in PyTorch☆58Updated 5 years ago
- Implementation of Discrete Key / Value Bottleneck, in Pytorch☆88Updated last year
- The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…☆67Updated 2 years ago
- Pytorch implementation of Compressive Transformers, from Deepmind☆158Updated 3 years ago
- Continuous Augmented Positional Embeddings (CAPE) implementation for PyTorch☆40Updated 2 years ago
- Axial Positional Embedding for Pytorch☆81Updated 3 months ago
- Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.☆105Updated 3 years ago
- Fast Discounted Cumulative Sums in PyTorch☆96Updated 3 years ago
- Reparameterized Discrete Diffusion Models for Text Generation☆98Updated 2 years ago
- GPT, but made only out of MLPs☆89Updated 4 years ago
- Representation learning for NLP @ JSALT19☆38Updated 4 years ago